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seasonal-to-subseasonal forecasting ensemble in modelling and forecasting these processes. As datasets develop, there may also be opportunities to assess simulation skill of AI forecasts. For further
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; Nguyen et al., 2023). By integrating large scale, multi-modal data and leveraging self-supervised and transfer learning, these models demonstrate satisfactory spatial-temporal simulation and predictions
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experience of scientific presentations Working knowledge of quantitative analysis and statistical methods Downloading a copy of our Job Description Full details of the role and the skills, knowledge and
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be located in Central Cambridge, Cambridgeshire, UK. The key responsibilities and duties are to conduct direct numerical simulations of turbulent flows over rough surfaces under non-equilibrium
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. The project is co-sponsored by Spirent Communications, a world leader in navigation and testing technology. Spirent will provide advanced simulation tools, expert support, and industry placements to help make
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provide different opportunities for you to develop. You would gain experience across a wide range of interdisciplinary areas including nano-assembly, optics, colloidal chemistry, and simulations across
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systems and nonlinear optics, THz generation and spectroscopy, magnetic thin-film growth and spintronic device fabrication, data acquisition and simulation. You will be supported by experts in experimental
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-term risk to society (WEF, 2025). The increasing advance of large language models (LLMs) has led to a rapid rise in LLM misuse by malicious actors, for the purposes of low-cost generation of fake news
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in combination with the Porexpert Research Suite to construct numerical models that simulate fluid flow, allowing for the calculation of permeability. These results will be integrated with the field
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Working knowledge of quantitative analysis and statistical methods Downloading a copy of our Job Description Full details of the role and the skills, knowledge and experience required can be found in